Stability AI Announces Stability For Blender; Text To Image Creation in 3D

Today, Stability AI, a community-driven artificial intelligence (AI) company, announced Stability for Blender, a free, easy way to use Stable Diffusion inside Blender. Blender is a professional open-source 3D computer graphics software. This new tool allows users to generate textures, videos and more inside Stable Diffusion. Stability for Blender is Stability AI’s officially supported, zero-hassle …

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The Efficacy and Ethics of AI Must Move Beyond the Performative to the Operational

Editors Note: Written by Courtney Bowman, Palantir’s Global Director of Privacy and Civil Liberties Engineering, this blog highlights our belief in the need for an integrated and operationally-orientated approach to artificial intelligence, which acknowledges its limitations, while placing ethics and efficacy at the heart of its use. You can read more about our principled approach …

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Distributed differential privacy for federated learning

Posted by Florian Hartmann, Software Engineer, and Peter Kairouz, Research Scientist, Google Research Federated learning is a distributed way of training machine learning (ML) models where data is locally processed and only focused model updates and metrics that are intended for immediate aggregation are shared with a server that orchestrates training. This allows the training …

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Accelerate hyperparameter grid search for sentiment analysis with BERT models using Weights & Biases, Amazon EKS, and TorchElastic

Financial market participants are faced with an overload of information that influences their decisions, and sentiment analysis stands out as a useful tool to help separate out the relevant and meaningful facts and figures. However, the same piece of news can have a positive or negative impact on stock prices, which presents a challenge for …

Integrating humans with AI in structural design

Modern fabrication tools such as 3D printers can make structural materials in shapes that would have been difficult or impossible using conventional tools. Meanwhile, new generative design systems can take great advantage of this flexibility to create innovative designs for parts of a new building, car, or virtually any other device.